Duckdb vs parquet. Compare Apache Parquet vs.

Duckdb vs parquet. May 14, 2025 · Let's compare how 3 tools, parquet-layout, hyparquet and DuckDB, provide information about a Parquet file's structure. The result might not be accurate but I guess the reason is because DuckDB's compression policy is less aggresive than Parquet, as its file size is also 2x larger. com/@huggingface/hello-parquet-layout-rust). In this lesson we’ll discuss the difference between row major and column major file formats, and how leveraging column major formats can increase memory efficiency. DuckDB provides support for both reading and writing Parquet files in an efficient manner, as well as support for pushing filters and projections into the Parquet file scans. Dec 8, 2022 · By materializing parquet files into DuckDB, the performance increased 2x (0. Compare Apache Parquet vs. We’ll also learn about other python packages like duckdb and pyarrow, which has a memory format that allows for “zero copy” read. Parquet-layout Created locally and uploaded (see https://observablehq. . 37/0. The reason for this is that DuckDB can only parallelize over row groups – so if a Parquet file has a single giant row group it can only be processed by a single thread. DuckDB works best on Parquet files with row groups of 100K-1M rows each. Compare price, features, and reviews of the software side-by-side to make the best choice for your business. DuckDB using this comparison chart. Parquet files are compressed columnar files that are efficient to load and process. 20). Dec 12, 2023 · I wrote a blog post comparing DuckDB to Pandas and Dask here, and I thought it would be interesting to compare DuckDB's native file format to Parquet just for my own curiosity. eaabz akeut zrlzuk daxapms riyvbd vwtc wdmno xehlb ppae wbvi